2020 Integrated Communications Navigation and Surveillance Conference (ICNS)最新文献_第4页

Evaluating the Benefits of Flying Wind-Optimal Trajectory Inside the Pacific Airspace 评估太平洋空域内飞行风-最优轨迹的效益

2020 Integrated Communications Navigation and Surveillance Conference (ICNS) Pub Date : 2020-09-01 DOI: 10.1109/ICNS50378.2020.9222911

Tao Li

引用次数: 2

Evaluating the Benefits of Accepting Cruising Flight Levels That Are Not in Compliance with the Hemispherical Rules in the Pacific Airspace 评估在太平洋空域接受不符合半球规则的巡航飞行水平的好处

2020 Integrated Communications Navigation and Surveillance Conference (ICNS) Pub Date : 2020-09-01 DOI: 10.1109/ICNS50378.2020.9222891

Tao Li

{"title":"Evaluating the Benefits of Accepting Cruising Flight Levels That Are Not in Compliance with the Hemispherical Rules in the Pacific Airspace","authors":"Tao Li","doi":"10.1109/ICNS50378.2020.9222891","DOIUrl":"https://doi.org/10.1109/ICNS50378.2020.9222891","url":null,"abstract":"The hemispherical rules require that eastbound flights should use odd thousands flight levels (FLs) and westbound flights should use even thousands FLs. Though these rules improve safety, they could also negatively impact flight efficiency by, for example, reducing the available FLs that can be used to improve efficiency. With improved surveillance and communication capabilities in oceanic airspace, it is possible to use the FLs that do not comply with the hemispherical rules (non-complying FLs). The paper investigates whether doing so in the Pacific airspace could bring benefits to airlines and air traffic controllers. Our analysis showed mixed results. We found that fuel savings would increase as more flights accept non-complying FLs. If all flights accept non-complying FLs, the annual total fuel savings could reach 12.2 million gallons within the Oakland and Anchorage Flight Information Region (FIR). Depending on the price of Jet-A fuel, the monetary value of these fuel savings ranges from 11.25 to 25.66 million dollars. However, we also found that the annual total travel time inside the two FIRs would increase by about 2,070 flight hours. In addition, the workload of air traffic controllers and pilots may also increase as more flights accept non-complying FLs.","PeriodicalId":424869,"journal":{"name":"2020 Integrated Communications Navigation and Surveillance Conference (ICNS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133781032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Real-Time Autonomous Trajectory Conflict Detection and Resolution in Restricted Airspace 受限空域实时自主轨迹冲突检测与解决

2020 Integrated Communications Navigation and Surveillance Conference (ICNS) Pub Date : 2020-09-01 DOI: 10.1109/ICNS50378.2020.9223004

Yutong Chen, Lei Yang, Haoran Zhang, Zheng Zhao, Minghua Hu

{"title":"Real-Time Autonomous Trajectory Conflict Detection and Resolution in Restricted Airspace","authors":"Yutong Chen, Lei Yang, Haoran Zhang, Zheng Zhao, Minghua Hu","doi":"10.1109/ICNS50378.2020.9223004","DOIUrl":"https://doi.org/10.1109/ICNS50378.2020.9223004","url":null,"abstract":"Aiming at achieving the autonomous Air Traffic Management (ATM) in the Trajectory-Based Operation (TBO) context, a two-stage real-time autonomous four-dimensional trajectory conflict detection and resolution method in restricted Free Route Airspace (FRA) supporting the synchronized air-ground situational awareness was proposed. Cellular concept was used for airspace discretization to balance the accuracy and computation cost. At stage one, the desired trajectory for each upcoming flight is generated by searching a path in a network constructed based on the entry and exit point, as well as boundary points of each restricted area inside the airspace. At stage two, in order to avoid conflict during travelling, the Space-Time Prism model, which is capable of visualizing the conflict situation for both controllers and pilots, is introduced to generate the feasible conflict-free trajectories while keeping the Controlled Time of Arrival (CTA) in mind. A case study based on a typical en route sector in Western China was carried out to test the effectiveness of the proposed method. In the end, sensitivity of cell size was investigated in terms of computational cost and operational efficiency. Results showed that the proposed autonomous trajectory planning would be a promising solution for future autonomous ATM system.","PeriodicalId":424869,"journal":{"name":"2020 Integrated Communications Navigation and Surveillance Conference (ICNS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133479070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Comparing Regain Well Clear Guidance 比较恢复良好明确的指导

2020 Integrated Communications Navigation and Surveillance Conference (ICNS) Pub Date : 2020-09-01 DOI: 10.1109/ICNS50378.2020.9222886

E. Theunissen, W. Zijlstra

引用次数: 0

Operational Benefits of Remote Oceanic Meteorology Information Operational (Romio) Demonstration: A Survey-Based Analysis 远程海洋气象信息业务演示的业务效益:基于调查的分析

2020 Integrated Communications Navigation and Surveillance Conference (ICNS) Pub Date : 2020-09-01 DOI: 10.1109/ICNS50378.2020.9222863

Jungmin Seo, A. Izadi, A. Trani

{"title":"Operational Benefits of Remote Oceanic Meteorology Information Operational (Romio) Demonstration: A Survey-Based Analysis","authors":"Jungmin Seo, A. Izadi, A. Trani","doi":"10.1109/ICNS50378.2020.9222863","DOIUrl":"https://doi.org/10.1109/ICNS50378.2020.9222863","url":null,"abstract":"The Federal Aviation Administration (FAA) Weather Technology in the Cockpit (WTIC) program has sponsored an operational demonstration to provide satellite-based meteorological information to commercial flights in remote and oceanic regions. This effort is called the Remote Oceanic Meteorology Information Operational (ROMIO) demonstration. For this effort, the National Center of Atmospheric Research (NCAR) developed two weather products: 1) Cloud Top Height (CTH), and 2) Convection Diagnosis Oceanic (CDO). The CTH product displays cloud top contours at flight altitudes of FL320, FL340, FL360, FL380, and FL400. The CDO product displays hazards associated with the storm updraft, lightning, and overshooting tops in four intensity levels (medium, high, severe, and extreme).In this paper, we study the potential benefits of the ROMIO demonstration through survey analysis to measure pilots’ acceptance and the ROMIO-aided behavior during en-route convective weather avoidance. We created a post-flight pilot survey to have a qualitative measure of the benefits of using the ROMIO application and to assess users' acceptance of the new airborne information technology. The questions in the questionnaire were mainly categorized into five groups: 1) decision-making, 2) workload, 3) situational awareness, 4) efficiency, and 5) quality of information. We applied Wilcoxon’s rank-sum test to analyze Likert scale responses. The study includes 105 pilot survey responses. The results of this study improve our understanding of the potential benefits of new airborne weather information technology from the pilots’ perspective and allow us to identify potential areas for further improvement of the ROMIO demonstration.","PeriodicalId":424869,"journal":{"name":"2020 Integrated Communications Navigation and Surveillance Conference (ICNS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121149639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Effective Non-Cooperative Surveillance for UAS Situational Awareness 无人机态势感知的有效非合作监视

2020 Integrated Communications Navigation and Surveillance Conference (ICNS) Pub Date : 2020-09-01 DOI: 10.1109/ICNS50378.2020.9222908

James Keller, B. Deng, David Gore

引用次数: 0

Machine Learning Approach to Chirp Rate Estimation of Linear Frequency Modulated Radars 线性调频雷达啁啾率估计的机器学习方法

2020 Integrated Communications Navigation and Surveillance Conference (ICNS) Pub Date : 2020-09-01 DOI: 10.1109/ICNS50378.2020.9222944

A. Young, David Luong, B. Balaji, S. Rajan

{"title":"Machine Learning Approach to Chirp Rate Estimation of Linear Frequency Modulated Radars","authors":"A. Young, David Luong, B. Balaji, S. Rajan","doi":"10.1109/ICNS50378.2020.9222944","DOIUrl":"https://doi.org/10.1109/ICNS50378.2020.9222944","url":null,"abstract":"The detection and parametric estimation of low-SNR radar signals, particularly linear frequency modulated (LFM) radar signals, is a problem of considerable interest. In prior work, this problem has been investigated using various signal processing techniques, such as maximum likelihood estimation, fractional Fourier transform and Wigner-Ville-based methods, to analyze the signal parameters of a complex linear frequency modulated signal. Other work has focused on applying deep learning to automatically recognize various radar waveform types and their features, such as linear frequency modulation (LFM), Barker code and rectangular waveforms. In this paper, we investigate this problem from a machine learning perspective for multiple LFM radar signals given a priori information. We explore the use of naive Bayes, support vector machine and neural network classifiers to identify the LFM chirp rate, out of a set of known chirp rates, from a specific radar emitter under varying SNR conditions. Simulation results demonstrate the viability of this technique to identify the radar LFM mode in very low signal-to-noise ratio conditions down to -20 dB where using existing approaches (e.g., Wigner-Ville) fail.","PeriodicalId":424869,"journal":{"name":"2020 Integrated Communications Navigation and Surveillance Conference (ICNS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134030182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

25.3 GOPS Autonomous Landing Guidance Assistant System Using Systolic Fuzzy Logic System for Urban Air Mobility (UAM) Vehicles Using FPGA 25.3基于FPGA的城市空中机动(UAM)车辆收缩模糊逻辑GOPS自主着陆制导辅助系统

2020 Integrated Communications Navigation and Surveillance Conference (ICNS) Pub Date : 2020-09-01 DOI: 10.1109/ICNS50378.2020.9222974

Hossam O. Ahmed

{"title":"25.3 GOPS Autonomous Landing Guidance Assistant System Using Systolic Fuzzy Logic System for Urban Air Mobility (UAM) Vehicles Using FPGA","authors":"Hossam O. Ahmed","doi":"10.1109/ICNS50378.2020.9222974","DOIUrl":"https://doi.org/10.1109/ICNS50378.2020.9222974","url":null,"abstract":"The importance of the Unmanned Aircraft Systems (UAS) has been increased significantly nowadays due to the increasing demands on affording novel urban transportation system solutions that could leverage the transportation utilization ratio specially in congested urban cities. However, the viability of deploying Urban Air Mobility (UAM) solutions in our daily life depends on many critical safety factors. One of the most pivotal key players in the UAM safety aspect is their capability for accurately landing on narrow and unplanned urban lading spots. Subsequently, processing the elevation sensory data by depending on a single array-based sensor unit has many drawbacks in case of sudden electronically failure or spontaneous obstacle shadowing effects. In this paper, we proposed a multicore systolic real-time processing unit that is capable to increase the automation requirement levels for future UAMs through adopting parallel and complex sensory fusion computer architectures for increasing the accuracy of UAM during the landing process. The novel Fuzzy Logic System (FLS) processing unit is interactively dealing with Multiple Sensor Nodes (MSN) that are both frequency spectrum and spatially separated on the bottom side of an UAM. The proposed idea is surpassing the conventional single sensor-array based-solutions for UAM landing process in terms of improving the accuracy and safety concerns. The proposed systolic FLS architecture in this paper has been designed and tested using MATLAB and VHDL to be interfaced with five Lidar Sensors and five ultrasonic sensors using the Intel Altera OpenVINO FPGA board. The proposed systolic FLS processing unit achieved a processing computational speed of about 25.3 Giga Operations per Seconds (GOPS) and only 178.12 mW as core dynamic thermal power dissipation.","PeriodicalId":424869,"journal":{"name":"2020 Integrated Communications Navigation and Surveillance Conference (ICNS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122242541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Artificial Intelligence Applicability to Air Traffic Management Network Operations 人工智能在空中交通管理网络运行中的应用

2020 Integrated Communications Navigation and Surveillance Conference (ICNS) Pub Date : 2020-09-01 DOI: 10.1109/ICNS50378.2020.9222889

Z. Chaudhry, K. Fox

引用次数: 0

Travel Time Prediction for Multi-Airport Systems Via Multiclass Queuing Networks 基于多类排队网络的多机场系统旅行时间预测

2020 Integrated Communications Navigation and Surveillance Conference (ICNS) Pub Date : 2020-09-01 DOI: 10.1109/ICNS50378.2020.9222969

Kailin Chen, Shaoyu Wang, Jianfeng Mao

{"title":"Travel Time Prediction for Multi-Airport Systems Via Multiclass Queuing Networks","authors":"Kailin Chen, Shaoyu Wang, Jianfeng Mao","doi":"10.1109/ICNS50378.2020.9222969","DOIUrl":"https://doi.org/10.1109/ICNS50378.2020.9222969","url":null,"abstract":"In this paper, we consider predicting travel time for aircraft operated in multi-airport systems by modeling and simulating a multiclass queuing network, which can systematically capture the complicated coupling relationship among multiple airports and terminal airspace and the complex nature of flight trajectories following different traffic flow patterns. In this multiclass queuing network model, each class of queuing network, named a class of customers, is modeled with the data of a traffic flow pattern, which is identified for a cluster of flight trajectories. Airports and airspace sectors are correspondingly modeled as networked servers with nonhomogeneous and time-varying arrival rate, service rate and server capacity to serve those classes of customers following their specific routing probabilities. Then, all of the parameters for setting up the multiclass queuing network model can be properly estimated using historical 4D flight trajectory data. To illustrate the superiority of this model, both average travel time for each class of customers, i.e., aircraft following a particular flow pattern, and the arrival time for an individual flight are predicted via simulations of a multiclass queuing network, and furthermore, compared with the real travel time. A typical example of a multi-airport system, the Guangdong-Hong Kong-Macau Greater Bay Area in China, is utilized to showcase the prediction performance of the proposed multiclass queuing network simulation model. The simulation experiments of the case study demonstrate that the proposed model well fits this multi-airports system. For most of the time periods, the percentage error (PE) of simulated average travel time and real average travel time is less than 5%. The travel time prediction for a random individual flight can achieve around 1% of the percentage error in terms of point estimation.","PeriodicalId":424869,"journal":{"name":"2020 Integrated Communications Navigation and Surveillance Conference (ICNS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116798937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1